| Title |
Risk factors for postpartum depression: the role of the Postpartum Depression Predictors Inventory-Revised (PDPI-R)
|
|---|---|
| Published in |
Archives of Women's Mental Health, May 2009
|
| DOI | 10.1007/s00737-009-0071-8 |
| Pubmed ID | |
| Authors |
A. Oppo, M. Mauri, D. Ramacciotti, V. Camilleri, S. Banti, C. Borri, C. Rambelli, M. S. Montagnani, S. Cortopassi, A. Bettini, S. Ricciardulli, S. Montaresi, P. Rucci, C. T. Beck, G. B. Cassano |
| Abstract |
The aims of this study were to identify the frequency of the risk factors for postpartum depression (PPD) listed in the Postpartum Depression Predictors Inventory-Revised (PDPI-R) during pregnancy and 1 month after delivery and to determine the predictive validity of the PDPI-R. The study used a prospective cohort design. Women completed the PDPI-R at the 3rd and the 8th months of pregnancy and at the 1st month after childbirth. Women were prospectively followed across three different time points during the postpartum using Structured Clinical Interview for DSM-IV Disorders to determine the presence of major or minor depression. The prenatal version of the PDPI-R administered at two different time points during pregnancy predicted accurately 72.6% and 78.2% of PPD and the full version administered at the 1st month after delivery predicted 83.4% of PPD. The cutoffs identified were 3.5 for the prenatal version and 5.5 for the full version. The PDPI-R is a useful and a valid screening tool for PPD. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 2 | 2% |
| Spain | 1 | <1% |
| Unknown | 110 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 19% |
| Researcher | 19 | 17% |
| Student > Master | 11 | 10% |
| Student > Doctoral Student | 10 | 9% |
| Student > Bachelor | 10 | 9% |
| Other | 17 | 15% |
| Unknown | 25 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 33 | 29% |
| Medicine and Dentistry | 17 | 15% |
| Social Sciences | 10 | 9% |
| Neuroscience | 8 | 7% |
| Nursing and Health Professions | 6 | 5% |
| Other | 11 | 10% |
| Unknown | 28 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 June 2014.
All research outputs
#19,017,658
of 23,577,654 outputs
Outputs from Archives of Women's Mental Health
#830
of 949 outputs
Outputs of similar age
#86,562
of 94,275 outputs
Outputs of similar age from Archives of Women's Mental Health
#6
of 7 outputs
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